23.3.10.3 Copy-Move Tamper Detection, Forensics

Chapter Contents (Back)
Copy Move. Tamper Detection. Image Forensics.

Jajal, B.[Brijesh], Desai, V.[Vipul],
Identification of copy-paste regions in digital image,
IJIST(20), No. 4, December 2010, pp. 367-369.
DOI Link 1011
Image forensics. BibRef

Silva, E.[Ewerton], Carvalho, T.[Tiago], Ferreira, A.[Anselmo], Rocha, A.[Anderson],
Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes,
JVCIR(29), No. 1, 2015, pp. 16-32.
Elsevier DOI 1504
Award, JVCI, Best Paper. Copy-move forgery detection BibRef

Lee, J.C.[Jen-Chun],
Copy-move image forgery detection based on Gabor magnitude,
JVCIR(31), No. 1, 2015, pp. 320-334.
Elsevier DOI 1508
Digital image forensics BibRef

Ferreira, A., Felipussi, S.C., Alfaro, C., Fonseca, P., Vargas-Muñoz, J.E., dos Santos, J.A., Rocha, A.,
Behavior Knowledge Space-Based Fusion for Copy-Move Forgery Detection,
IP(25), No. 10, October 2016, pp. 4729-4742.
IEEE DOI 1610
decision making BibRef

Dixit, R.[Rahul], Naskar, R.[Ruchira], Mishra, S.[Swati],
Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD,
IET-IPR(11), No. 5, April 2017, pp. 301-309.
DOI Link 1706
BibRef

Dixit, R.[Rahul], Naskar, R.[Ruchira],
Review, analysis and parameterisation of techniques for copy-move forgery detection in digital images,
IET-IPR(11), No. 9, September 2017, pp. 746-759.
DOI Link 1709
BibRef

Warif, N.B.A.[Nor Bakiah Abdul], Wahab, A.W.A.[Ainuddin Wahid Abdul], Idris, M.Y.I.[M. Yamani Idna], Salleh, R.[Rosli], Othman, F.[Fazidah],
SIFT-Symmetry: A robust detection method for copy-move forgery with reflection attack,
JVCIR(46), No. 1, 2017, pp. 219-232.
Elsevier DOI 1706
Blind, detection BibRef

Jin, G.[Guonian], Wan, X.X.[Xiao-Xia],
An improved method for SIFT-based copy-move forgery detection using non-maximum value suppression and optimized J-Linkage,
SP:IC(57), No. 1, 2017, pp. 113-125.
Elsevier DOI 1709
Copy-move forgery detection BibRef

Soni, B.[Badal], Das, P.K.[Pradip K.], Thounaojam, D.M.[Dalton Meitei],
CMFD: a detailed review of block based and key feature based techniques in image copy-move forgery detection,
IET-IPR(12), No. 2, February 2018, pp. 167-178.
DOI Link 1801
BibRef

Wo, Y.[Yan], Yang, K.[Kemin], Han, G.[Guoqiang], Chen, H.[Haichao], Wu, W.[Wenbo],
Copy-move forgery detection based on multi-radius PCET,
IET-IPR(11), No. 2, February 2017, pp. 99-108.
DOI Link 1703
BibRef

Manu, V.T., Mehtre, B.M.,
Copy-move tampering detection using affine transformation property preservation on clustered keypoints,
SIViP(12), No. 3, March 2018, pp. 549-556.
WWW Link. 1804
BibRef

Mahmood, T.[Toqeer], Mehmood, Z.[Zahid], Shah, M.[Mohsin], Saba, T.[Tanzila],
A robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform,
JVCIR(53), 2018, pp. 202-214.
Elsevier DOI 1805
Copy-move forgery, Tampered images, Forgery detection, Authenticity, Passive authentication BibRef

Bi, X.L.[Xiu-Li], Pun, C.M.[Chi-Man],
Fast copy-move forgery detection using local bidirectional coherency error refinement,
PR(81), 2018, pp. 161-175.
Elsevier DOI 1806
Copy-move forgery detection, Enhanced coherency sensitive searching, Local bidirectional coherency error BibRef

Liu, B.[Bo], Pun, C.M.[Chi-Man],
Locating splicing forgery by fully convolutional networks and conditional random field,
SP:IC(66), 2018, pp. 103-112.
Elsevier DOI 1806
Splicing forgery, Deep neural network, Fully convolutional network, Conditional random field BibRef

Barni, M., Santoyo-García, H., Tondi, B.,
An Improved Statistic for the Pooled Triangle Test Against PRNU-Copy Attack,
SPLetters(25), No. 10, October 2018, pp. 1435-1439.
IEEE DOI 1810
cameras, image forensics, security of data, statistical analysis, pooled triangle test, PRNU-copy attack, triangle test BibRef

Soni, B.[Badal], Das, P.K.[Pradip K.], Thounaojam, D.M.[Dalton Meitei],
Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm,
IET-IPR(12), No. 11, November 2018, pp. 2092-2099.
DOI Link 1810
BibRef

D'Amiano, L., Cozzolino, D., Poggi, G., Verdoliva, L.,
A PatchMatch-Based Dense-Field Algorithm for Video Copy-Move Detection and Localization,
CirSysVideo(29), No. 3, March 2019, pp. 669-682.
IEEE DOI 1903
Forgery, Feature extraction, Data structures, Boolean functions, Additives, Complexity theory, Tools, Video forensics, 3D PatchMatch BibRef

Fanfani, M.[Marco], Bellavia, F.[Fabio], Iuliani, M.[Massimo], Piva, A.[Alessandro], Colombo, C.[Carlo],
FISH: Face intensity-shape histogram representation for automatic face splicing detection,
JVCIR(63), 2019, pp. 102586.
Elsevier DOI 1909
Image forensics, Scene level analysis, Geometric constraints, Lighting environment, Face splicing detection BibRef


Júnior, P.R.M., Bondi, L., Bestagini, P., Rocha, A., Tubaro, S.,
A Prnu-Based Method to Expose Video Device Compositions in Open-Set Setups,
ICIP19(96-100)
IEEE DOI 1910
Video forensics, PRNU, device attribution, open-set BibRef

Mazumdar, A., Bora, P.K.,
Deep Learning-Based Classification of Illumination Maps for Exposing Face Splicing Forgeries in Images,
ICIP19(116-120)
IEEE DOI 1910
Image Forensics, Illumination Inconsistencies, Deep Learning, Siamese Network BibRef

Alyosef, A.A.[Afraà Ahmad], Nürnberger, A.[Andreas],
Detecting Sub-Image Replicas: Retrieval and Localization of Zoomed-In Images,
CAIP19(II:257-268).
Springer DOI 1909
BibRef

Bruni, V.[Vittoria], Ramella, G.[Giuliana], Vitulano, D.[Domenico],
An Adaptive Copy-Move Forgery Detection Using Wavelet Coefficients Multiscale Decay,
CAIP19(I:469-480).
Springer DOI 1909
BibRef

Cun, X.D.[Xiao-Dong], Pun, C.M.[Chi-Man],
Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields,
Objectionable18(II:252-266).
Springer DOI 1905
BibRef

Liu, B.[Bo], Pun, C.M.[Chi-Man],
Deep Fusion Network for Splicing Forgery Localization,
Objectionable18(II:237-251).
Springer DOI 1905
BibRef

Dadkhah, S.[Sajjad], Koppen, M., Sadeghi, S.[Somayeh], Yoshida, K., Jalab, H.A., Manaf, A.A.[Azizah Abd],
An efficient ward-based copy-move forgery detection method for digital image forensic,
IVCNZ17(1-6)
IEEE DOI 1902
data compression, feature extraction, image coding, image forensics, image matching, pattern clustering, Digital Image Forensics BibRef

Niyishaka, P.[Patrick], Bhagvati, C.[Chakravarthy],
Digital Image Forensics Technique for Copy-Move Forgery Detection Using DoG and ORB,
ICCVG18(472-483).
Springer DOI 1810
BibRef

Pomari, T., Ruppert, G., Rezende, E., Rocha, A., Carvalho, T.,
Image Splicing Detection Through Illumination Inconsistencies and Deep Learning,
ICIP18(3788-3792)
IEEE DOI 1809
Splicing, Feature extraction, Forgery, Lighting, Task analysis, Training, Forensics BibRef

Wu, Y.[Yue], Abd-Almageed, W.[Wael], Natarajan, P.[Prem],
BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization,
ECCV18(VI: 170-186).
Springer DOI 1810
BibRef
Earlier:
Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network,
WACV18(1907-1915)
IEEE DOI 1806
affine transforms, convolution, feature extraction, feedforward neural nets, image forensics, Training data BibRef

Novozámsky, A., Šorel, M.,
JPEG compression model in copy-move forgery detection,
IPTA17(1-6)
IEEE DOI 1804
data compression, image coding, image forensics, image texture, JPEG compression model, JPEG-based constraint, Quantization constraint set BibRef

Roy, A., Konda, A., Chakraborty, R.S.,
Copy move forgery detection with similar but genuine objects,
ICIP17(4083-4087)
IEEE DOI 1803
Databases, Estimation, Feature extraction, Forgery, Lighting, Robustness, Transforms, Copy-move forgery, similar but genuine objects BibRef

Khayeat, A.R.H.[Ali Retha Hasoon], Rosin, P.L.[Paul L.], Sun, X.F.[Xian-Fang],
Copy-Move Forgery Detection Using the Segment Gradient Orientation Histogram,
SCIA17(I: 209-220).
Springer DOI 1706
BibRef
Earlier: A1, A3, A2:
Improved DSIFT Descriptor Based Copy-Rotate-Move Forgery Detection,
PSIVT15(642-655).
Springer DOI 1602
BibRef

Kuznetsov, A.[Andrey],
Remote Sensing Data Copy-Move Forgery Protection Algorithm,
ICCVG16(544-552).
Springer DOI 1611
BibRef

Kuznetsov, A.[Andrey], Myasnikov, V.[Vladislav],
A Copy-Move Detection Algorithm Using Binary Gradient Contours,
ICIAR16(349-357).
Springer DOI 1608
BibRef

Kushol, R., Salekin, M.S., Kabir, M.H., Khan, A.A.,
Copy-Move Forgery Detection Using Color Space and Moment Invariants-Based Features,
DICTA16(1-6)
IEEE DOI 1701
Digital images BibRef

Wen, B., Zhu, Y., Subramanian, R., Ng, T.T., Shen, X., Winkler, S.,
COVERAGE: A novel database for copy-move forgery detection,
ICIP16(161-165)
IEEE DOI 1610
Adaptation models BibRef

Cozzolino, D.[Davide], Poggi, G.[Giovanni], Verdoliva, L.[Luisa],
Copy-move forgery detection based on PatchMatch,
ICIP14(5312-5316)
IEEE DOI 1502
Boolean functions BibRef

Al-Qershi, O.M.[Osamah M.], Khoo, B.E.[Bee Ee],
Enhanced Matching Method for Copy-Move Forgery Detection by Means of Zernike Moments,
IWDW14(485-497).
Springer DOI 1602
BibRef

Zhou, L.N.[Lin-Na], Guo, Y.B.[Yun-Biao], You, X.G.[Xin-Gang],
Blind Copy-Paste Detection Using Improved SIFT Ring Descriptor,
IWDW11(257-267).
Springer DOI 1208
BibRef

Murali, S., Anami, B.S., Chittapur, G.B.,
Detection of Copy-Create Image Forgery Using Luminance Level Techniques,
NCVPRIPG11(215-218).
IEEE DOI 1205
BibRef

Muhammad, N.[Najah], Hussain, M.[Muhammad], Muhamad, G.[Ghulam], Bebis, G.N.[George N.],
A Non-intrusive Method for Copy-Move Forgery Detection,
ISVC11(II: 516-525).
Springer DOI 1109
BibRef

Li, W.H.[Wei-Hai], Yu, N.H.[Neng-Hai],
Rotation robust detection of copy-move forgery,
ICIP10(2113-2116).
IEEE DOI 1009
BibRef

Zhang, T.[Ting], Wang, R.D.[Rang-Ding],
Copy-Move Forgery Detection Based on SVD in Digital Image,
CISP09(1-5).
IEEE DOI 0910
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Source Camera Identification, Camera Fingerprint .


Last update:Dec 4, 2019 at 17:24:08